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Teach Analog Systems with Ease
Date:
Duration:
November 3, 2014
Duration:
02:31
An overview of The Analog System Lab Kit PRO (ASLK PRO) and the Analog System Lab Starter Kit . These kits provide students exposure to the fascinating world of
InstaSPIN-FOC-enabled Quadcopter
Date:
Duration:
November 8, 2014
Duration:
00:53
Patrick Fisher, under supervision of D.M.G. Preethichandra at the School of Engineering and Technology, Central Queensland University, conducted his final-year
Educational BoosterPack MKII Out of Box Demo
Date:
Duration:
August 17, 2015
Duration:
05:54
Are you ready to get Educated? This out of box demo will walk you through the new Educational BoosterPack MKII, which is here to help you learn even more about
2016 TI Innovation Challenge North America Design Contest 1st, 2nd and 3rd place Winners
Date:
Duration:
July 26, 2016
Duration:
02:48
Watch what can happen when students marry engineering education with hands-on creativity using TI technology
How to light up the holidays with TI LaunchPad
Date:
Duration:
December 7, 2016
Duration:
01:10
Watch this short tutorial to learn how to use the TI Launchpad™ development kit with the Seeedstudio Sidekick Basic Kit
TI Robotics System Learning Kit (TI-RSLK)
The TI-RSLK is a low-cost robotics kit and classroom curriculum which provides students with a deeper understanding of how electronic system designs work.
Why should you add a project to Hackster.io?
Date:
Duration:
May 30, 2019
Duration:
02:55
Differentiate your university designs with our new project community that is part of Hackster.io.
TI Robotics System Learning Kit MAX (TI-RSLK MAX)
The TI-RSLK MAX is easy to use, build and test, with solderless assembly providing students a fully-functioning system up and running in less than 15 minutes.
TI-RSLK MAX Module 2 - Lecture video - Voltage, current and power
Date:
Duration:
July 18, 2019
Duration:
26:17
Covering resistors, capacitors and LEDs.
TI-RSLK MAX Module 2 - Lecture video 2b - Circuits
Date:
Duration:
July 18, 2019
Duration:
10:19
Introduction into circuits and the overall electrical systems
TI-RSLK MAX Module 3 - Lecture video - ARM Cortex M Architecture Digital Logic
Date:
Duration:
July 18, 2019
Duration:
11:57
Introduction into digital logical by learning the fundamentals, digital versus analog, and processor
TI-RSLK MAX Module 3 - Lecture video - ARM Cortex M Architecture Part I
Date:
Duration:
July 18, 2019
Duration:
20:10
Understanding how the processor works is essential for the design of embedded systems, such as the one used in your robot.
TI-RSLK MAX Module 3 lecture video part II: ARM Cortex M Assembly
Date:
Duration:
July 18, 2019
Duration:
23:01
In this module you will develop and test an assembly function the maze robot might use to perform a numerical calculation.
TI-RSLK MAX Module 4 - Lecture video part I - C programming
Date:
Duration:
July 18, 2019
Duration:
26:31
In this module, you will develop and test software functions that will be used in the maze robot.
TI-RSLK MAX Module 4 - Lecture video part II - Design
Date:
Duration:
July 18, 2019
Duration:
19:50
Learn software design through a call graph, data flow graph, successive refinement, abstraction (functions) and modular design (header/code files).
TI-RSLK MAX Module 4 - lecture video part III - Debugging
Date:
Duration:
July 18, 2019
Duration:
17:27
Learn debugging on the MSP432 through controls (step, breakpoints), observing variables and functional debugging.
TI-RSLK MAX Module 5 - Lecture video part I - Battery and voltage regulation
Date:
Duration:
July 18, 2019
Duration:
20:55
Learn battery power sources, voltage regulation (constant voltage) and performance measurements.
TI-RSLK MAX Module 5 - Lecture video part II - TI-RSLK Chassis board
Date:
Duration:
July 18, 2019
Duration:
09:26
In this video, you will learn an overview of the TI-RSLK MAX Chassis board, its features, and connections between the launchpad
TI-RSLK MAX Module 6 - Lecture video - GPIO - MSP432™
Date:
Duration:
July 18, 2019
Duration:
22:13
In this module you will design, develop and test the line sensor measurement required for the TI-RSLK MAX robot.